Pupil or Eyeball Detection and Extraction by C# from eye image

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Introduction

Using C# code and Aforge library, we can easily detect and extract the pupil from an eye image.

Algorithm

• Step 1 - First take the eye image.
• Step 2 - Make it invert.
• Step 3 - Convert it to gray scale.
• Step 4 - Use binary filter taking threshold value 220.
• Step 5 - Find the biggest object.
• Step 6 - Find that objects center point and height.
• Step 7 - Cut a circle from that point taking radius as 2.5 multiply of height.

Using the Code

The code is quite easy, using the aforge library filters invert, grayscale and threshold filters. First see the full code and then I will describe it.

System.Drawing.Bitmap aq = (Bitmap)pictureBox1.Image; //take the image
                     //////inverting the image
Invert a = new Invert();
aq=    a.Apply(aq);
AForge.Imaging.Image.FormatImage(ref aq);
 
                      /// apply grayscale
IFilter  filter =  Grayscale.CommonAlgorithms.BT709;
aq = filter.Apply(aq);
  
Threshold th = new Threshold(220);
aq = th.Apply(aq);
 
                            ///find the biggest object
BlobCounter bl = new BlobCounter(aq);
int i = bl.ObjectsCount;
ExtractBiggestBlob fil2 = new ExtractBiggestBlob();

 /// find the eye pupils start position and height
 
 int x = 0;
 int y = 0;
 int h = 0;
   if (i > 0)
   {
       fil2.Apply(aq);
       x  = fil2.BlobPosition.X;
       y = fil2.BlobPosition.Y;
      
        h = fil2.Apply(aq).Height;
   }
  
   System.Drawing.Bitmap Bitmapsource = (Bitmap)pictureBox1.Image;
   Rectangle section = new Rectangle(new Point(x -  h, y - h), new Size(3 * h, 3 *h));
   
   Bitmap CroppedImage = CropImage(Bitmapsource, section);
   pictureBox6.Image = CroppedImage;//get the eye pupil image

First, take the eye image:

System.Drawing.Bitmap aq = (Bitmap)pictureBox1.Image;

Then make it invert:

Invert a = new Invert();
aq=    a.Apply(aq);
AForge.Imaging.Image.FormatImage(ref aq);

Now we make it grayscale:

 IFilter  filter =  Grayscale.CommonAlgorithms.BT709;
                         aq = filter.Apply(aq);

Now we make it binary using threshold 220:

Threshold th = new Threshold(220);
          aq = th.Apply(aq);

Now we have to find the biggest object in the binary image:

BlobCounter bl = new BlobCounter(aq);
         int i = bl.ObjectsCount;
ExtractBiggestBlob fil2 = new ExtractBiggestBlob();
         fil2.Apply(aq);

Now we will find the start position and height of the biggest object/eye pupil:

int x = 0;
         int y = 0;
         int h = 0;
           if (i > 0)
           {
               fil2.Apply(aq);
               x  = fil2.BlobPosition.X;
               y = fil2.BlobPosition.Y;

                h = fil2.Apply(aq).Height;
           }

Now, we have to cut the pupil part from the image so we can find the image:

To cut the image, we use the following code:

System.Drawing.Bitmap Bitmapsource = (Bitmap)pictureBox1.Image;
Rectangle section = new Rectangle(new Point(x -  h, y - h), new< Size(3 * h, 3 *h));
Bitmap CroppedImage = CropImage(Bitmapsource, section);

The cropped image function code is:

public Bitmap CropImage(Bitmap source, Rectangle section)  {
Bitmap bmp = new Bitmap(section.Width, section.Height);
Graphics g = Graphics.FromImage(bmp);
 g.DrawImage(source, 0, 0, section, GraphicsUnit.Pixel);
  return bmp;}

Hope that will help for any eyeball or pupil extraction code.

Points of Interest

For face recognition or detection, eye recognition can be helpful.

History

• 22^nd December, 2010: Initial post